HUAWEI BOHB-WAX9
Geekbench AI Score
782
Single Precision Score
455
Half Precision Score
1154
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10110U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI BOHB-WAX9 |
| Motherboard | HUAWEI BOHB-WAX9-PCB-B2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
808
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
1933
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
58% |
606
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (Q)
|
96% |
1883
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
698
5.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
2067
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3004
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2170
2.79 IPS |
|
|
Style Transfer (Q)
|
87% |
3420
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
826
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
340
453.6 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.8 IPS |
|
|
Text Classification (Q)
|
97% |
602
806.8 IPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.78 IPS |
|
|
Machine Translation (Q)
|
68% |
926
17.9 IPS |
